TrendForce Research Manager Bryan Ao focuses on demand trends of NAND Flash storage solutions used by server OEMs, data center operators, and AI or edge computing service provider. He previously worked in an electronic component distributor specializing in mobile device memory solutions and SSD controller ICs.
As the AI landscape shifts from training-heavy models to massive-scale inference deployment, the industry faces a critical challenge: How do we store and manage the unprecedented volume of AI-generated data? This session provides a data-driven roadmap for infrastructure architects and industry leaders. We begin with a comprehensive forecast of data volumes produced by AI inference services, illustrating the shift in storage demand. Central to this discussion is a refined Data Tiering Strategy, where we analyze the evolving requirements across "Hot," "Warm," and "Cold" storage categories to optimize performance and cost.
Furthermore, we will examine Market Share Allocation, specifically focusing on the accelerating transition of AI workloads toward NAND-based storage solutions. To conclude, we provide a Strategic Supply Outlook, offering a long-term forecast of the NAND supply landscape to help organizations future-proof their AI infrastructure.